In the 1960s, Christian Anfinsen postulated that the unique three-dimensional structure of a protein is determined by its amino acid sequence. This work laid the foundation for the sequence–structure–function paradigm, which states that the sequence of a protein determines its structure, and structure determines function. However, a class of polypeptide segments called intrinsically disordered regions does not conform to this postulate. In this review, I will first describe established and emerging ideas about how disordered regions contribute to protein function. I will then discuss molecular principles by which regulatory mechanisms, such as alternative splicing and asymmetric localization of transcripts that encode disordered regions, can increase the functional versatility of proteins. Finally, I will discuss how disordered regions contribute to human disease and the emergence of cellular complexity during organismal evolution.

Understanding how proteins, which are polymers of amino acids, carry out different functions in a cell has been a problem of considerable interest. In a series of elegant publications, Christian Anfinsen and colleagues proposed that the sequence of a protein contains the information required to adopt a defined structure and, hence, function. This led to what is now called as Anfinsen's postulate or the thermodynamic hypothesis, which states that ‘the three-dimensional structure of the native protein in its normal physiological milieu is the one in which the Gibbs-free energy of the whole system is the lowest; that is, that the native conformation is determined by the totality of the interatomic interactions and hence by the amino acid sequence, in a given environment’ [1]. The biochemical studies of Anfinsen and colleagues, along with the unprecedented molecular insights obtained from crystallographic studies of proteins, such as hemoglobin and numerous enzymes, established the structure–function paradigm (Figure 1A). This concept postulates that function is achieved by the unique three-dimensional structure adopted by a protein, which in turn is determined by its amino acid sequence (see ref. [2] for a general historical overview).

Sequence to function relationship.

Figure 1.
Sequence to function relationship.

(A) Structure–function paradigm and (B) disorder–function paradigm. Reprinted with permission from ref. [7].

Figure 1.
Sequence to function relationship.

(A) Structure–function paradigm and (B) disorder–function paradigm. Reprinted with permission from ref. [7].

Close modal

While most proteins and polypeptide segments fold co-operatively into defined three-dimensional structures, numerous studies, primarily over the last couple of decades, have discovered that a large number of polypeptide segments do not fold into defined tertiary structure. Instead, they adopt an ensemble of different conformations and can still carry out their function in an unstructured/disordered state [36]. These studies are now establishing the disorder–function paradigm (Figure 1B), which states that certain polypeptide segments can be functional without achieving a defined tertiary structure [715]. Recent studies that have investigated genome sequences of many organisms have established that over 40% of any eukaryotic proteome contains such disordered regions [1618]. More importantly, altered abundance and mutations in many proteins with disordered segments have been implicated in human diseases, such as neurodegeneration and cancer [1928].

A major determinant of polypeptide segments folding co-operatively into a defined tertiary structure is the long-range hydrophobic interaction between amino acids in the linear sequence [29,30]. Intrinsically disordered regions (IDRs) are polypeptide segments that do not contain sufficient hydrophobic amino acids to mediate co-operative folding. Instead, they typically contain a higher proportion of polar or charged amino acids [31]. Thus, IDRs lack a unique three-dimensional structure either entirely or in parts in their native state. They generally sample a variety of conformations that are in dynamic equilibrium under physiological conditions [14,3234].

This, however, does not mean that they are completely flexible and adopt all possible conformations. Computational analysis of sequences, single-molecule studies, and molecular dynamics simulations has revealed that the amino acid composition affects the IDR conformational states and can determine whether they adopt a totally extended conformation (segments with high net charge and low hydrophobicity) or a compact conformation (depending on the balance between hydrophobicity and net charge) [3538]. This can further influence the functional elements (e.g. motifs or posttranslational modification sites) that are embedded within IDRs and can affect critical processes such as the cell cycle [39]. For the same number of charged residues, the charge patterning has also been shown to determine whether the polypeptide segment will be fully extended (e.g. alternating positively and negatively charged residues) or a collapsed globule (e.g. clearly separated stretches of positively and negatively charged residues), or somewhere in between (Figure 2) [38,40].

The relationship between sequence composition and conformations adopted by IDRs.

Figure 2.
The relationship between sequence composition and conformations adopted by IDRs.

(A) Plot of mean net charge versus mean hydrophobicity reveals the clear separation between structured proteins and IDPs. Reprinted with permission from ref. [31]. (B) Phase diagram showing the conformations of IDRs for different fractions of positive (f+) and negative charges (f−). Reprinted with permission from ref. [38]. FCR, fraction of charged residues; NCPR, Net charge per residue. (C) IDRs with sufficient hydrophobicity tend to fold upon binding (yellow, ACTR). Reprinted with permission from ref. [157]. ACTR, activator for thyroid hormones and retinoid receptors; ProTα-C, prothymosin α C-terminal segment; ProTα-WT, prothymosin α wild type; ProTα-N: prothymosin α N-terminal segment; IN, HIV integrase. (D) For the same net charge, the patterning can determine if the IDR adopts an extended coil or a collapsed globule conformation. Reprinted with permission from ref. [40].

Figure 2.
The relationship between sequence composition and conformations adopted by IDRs.

(A) Plot of mean net charge versus mean hydrophobicity reveals the clear separation between structured proteins and IDPs. Reprinted with permission from ref. [31]. (B) Phase diagram showing the conformations of IDRs for different fractions of positive (f+) and negative charges (f−). Reprinted with permission from ref. [38]. FCR, fraction of charged residues; NCPR, Net charge per residue. (C) IDRs with sufficient hydrophobicity tend to fold upon binding (yellow, ACTR). Reprinted with permission from ref. [157]. ACTR, activator for thyroid hormones and retinoid receptors; ProTα-C, prothymosin α C-terminal segment; ProTα-WT, prothymosin α wild type; ProTα-N: prothymosin α N-terminal segment; IN, HIV integrase. (D) For the same net charge, the patterning can determine if the IDR adopts an extended coil or a collapsed globule conformation. Reprinted with permission from ref. [40].

Close modal

IDRs can provide many advantages to proteins (Figure 3). These include the following: (a) exposing short linear motifs that can mediate domain peptide interactions [4144]. This permits interaction of the same protein with a large number of interaction partners in a functionally promiscuous manner or assembly of multiple proteins by serving as a scaffold (e.g. as seen in the AP2 adaptor protein during endocytosis [45,46]). (b) Facilitating the regulation of protein function via diverse posttranslational modification (PTM) of residues within the IDR [42,47,48]. Owing to their conformational flexibility, IDRs serve as excellent substrates to encode and decode information via posttranslational modifications (e.g. as seen in the tails of histone proteins or in the cytoplasmic tails of receptor tyrosine kinases and GPCRs [4952]). (c) Regulating protein half-life by efficiently engaging proteins that have been targeted for degradation by the proteasome [5359]. (d) Adopting different conformations when binding to different interaction partners [12,6066]. These properties of IDRs make them well suited to perform signaling and regulatory functions. Indeed, genome-scale analyses of the functions of proteins with IDRs have revealed that they are enriched in signaling proteins and nucleic acid-binding proteins such as kinases, transcription factors and splicing factors [6770].

Advantages and functions mediated by IDRs.

Figure 3.
Advantages and functions mediated by IDRs.

(A) IDRs can link structured domains, where their flexibility permits the protein to adopt multiple conformations; linear motifs within IDRs mediate protein interactions; posttranslational modification of residues within IDRs permits encoding and decoding of information [106]. (B) IDRs in protein sequences can increase the efficiency of degradation by the proteasome, thereby regulating protein half-life [53].

Figure 3.
Advantages and functions mediated by IDRs.

(A) IDRs can link structured domains, where their flexibility permits the protein to adopt multiple conformations; linear motifs within IDRs mediate protein interactions; posttranslational modification of residues within IDRs permits encoding and decoding of information [106]. (B) IDRs in protein sequences can increase the efficiency of degradation by the proteasome, thereby regulating protein half-life [53].

Close modal

An important aspect by which IDRs contribute to protein function is by adopting a defined conformation when binding a specific interaction partner [6,9,32,34,53,7174]. Although a large fraction of the polypeptide adopts a defined structure upon complex formation, distinct segments can still remain disordered. This phenomenon has been referred to as fuzzy complex formation [7578]. The folding and binding of IDRs facilitates interaction with their targets with relatively high specificity and low affinity [79,80]. This can permit highly specific associations to trigger signaling events while facilitating rapid disassociation when signaling is completed (e.g. p27 interaction with cyclin–CDK during the cell cycle; Figure 4A) [80]. The low-free energy of binding is due to the fine balance associated with the high entropic cost of folding and a comparable enthalpic gain of binding [60,72]. Thus, small perturbations either to entropy or to enthalpy of binding, such as via posttranslational modifications, can trigger association or disassociation from their interaction partners (e.g. CBP–CREB interaction; Figure 4B) [72]. While ‘weak but specific’ binding is often observed for IDRs, they also display very tight binding in several cases, which is often overlooked [81]. In terms of the kinetics of interactions, such proteins can have a wide spectrum of association and disassociation rates depending on the mode of interaction (e.g. conformational selection versus induced folding) [65,80,8284]. For a given Kd value, the kinetic constants can vary widely [81]. Several different intrinsically disordered proteins (IDPs; proteins with IDRs) have exploited this property in order to facilitate robust cellular decision-making (e.g. as seen in the PUMA–MCL1 interaction involved in apoptosis; Figure 4C) [85].

Coupled folding and binding of IDRs.

Figure 4.
Coupled folding and binding of IDRs.

(A) p27–cyclin–CDK complex. Reprinted with permission from ref. [158]. (B) CBP–CREB interaction regulated by phosphorylation. Reprinted with permission from ref. [32]. (C) PUMA–MCL1 interaction in apoptosis. Reprinted with permission from ref. [159].

Figure 4.
Coupled folding and binding of IDRs.

(A) p27–cyclin–CDK complex. Reprinted with permission from ref. [158]. (B) CBP–CREB interaction regulated by phosphorylation. Reprinted with permission from ref. [32]. (C) PUMA–MCL1 interaction in apoptosis. Reprinted with permission from ref. [159].

Close modal

Recently, it has been demonstrated that many low-complexity regions and IDRs with repeating peptide motifs can form nonmembrane-bound organelles and higher-order assemblies, often in a highly reversible manner [8698]. For instance, Q/N-rich regions are important for forming cellular assemblies, such as P-bodies, FG-rich regions are critical in forming the hydrogel-like structure of the nuclear pore, and repeats of multiple linear motifs can mediate phase separation and organize matter in cells, as seen in certain actin regulatory proteins (Figure 5) [92,99102]. Thus, IDRs can mediate functions comparable to structured domains, such as (i) the formation of protein complexes and higher-order assemblies of variable stoichiometry of subunits [86], (ii) conformational transition (disorder-to-order and order-to-disorder) in response to specific environmental changes, context, or ligands [94], and (iii) allosteric communication [15,60,103105]. Since most proteins contain structured and disordered regions in varying proportions, together with structured domains in the same polypeptide chain, IDRs can synergistically increase the functional versatility of proteins [12,15].

Formation of nonmembrane-bound organelles and higher-order assemblies by IDRs.

Figure 5.
Formation of nonmembrane-bound organelles and higher-order assemblies by IDRs.

(A) Self-association. Q/N-rich regions are important for P-bodies. Reprinted with permission from ref. [160]. FG-rich regions form hydrogel-like structures at the nuclear pore. Reprinted with permission from ref. [100]. (B) Multivalent interactions. Contacts between proteins containing repeating domains and peptide motifs can mediate phase transition that can be regulated via posttranslational modification. Reprinted with permission from ref. [92].

Figure 5.
Formation of nonmembrane-bound organelles and higher-order assemblies by IDRs.

(A) Self-association. Q/N-rich regions are important for P-bodies. Reprinted with permission from ref. [160]. FG-rich regions form hydrogel-like structures at the nuclear pore. Reprinted with permission from ref. [100]. (B) Multivalent interactions. Contacts between proteins containing repeating domains and peptide motifs can mediate phase transition that can be regulated via posttranslational modification. Reprinted with permission from ref. [92].

Close modal

In this award lecture review, I will first describe emerging ideas on how alternative splicing of disordered regions can rewire protein interaction networks in a tissue-specific (TS) manner, thereby leading to increased complexity and diversity of interactomes of different tissues [106,107]. I will then describe our studies on how asymmetric mRNA localization and local translation of transcripts encoding IDRs can facilitate organization of higher-order assemblies in distinct parts of the cell and contribute to increased fidelity of signaling networks [108]. Finally, I will discuss how altered regulation and mutations within IDRs can cause many diseases [24,27,109].

Alternative splicing is a molecular mechanism that results in the formation of multiple transcripts from the same gene. In this manner, alternative splicing increases the potential number of distinct protein products that can be encoded by a single gene [110119]. Many next-generation sequencing studies have established that over 90% of human genes are expected to undergo alternative splicing [111113,120,121]. Interestingly, these studies also estimate that nearly 50% of the isoforms are likely to be expressed in a TS manner [113,120]. While high-throughput studies have established the extent of splicing at the transcript level, the roles played by the different variants at the protein level are not fully understood. In one of our studies, we investigated the characteristics of tissue-specific spliced exons and how they could have an impact on the function of the encoded protein. To this end, we systematically collected the complete transcriptome sequence of 10 human tissues and 5 human cell lines [120] and classified the exons into three groups: those that are (a) constitutively expressed, (b) alternatively included or excluded but expressed in multiple tissues, and (c) alternatively included/excluded but in a tissue-specific manner. We then investigated the structural properties of the encoded protein segment of these exons, analyzed their functional features (such as linear motifs and PTM sites) and evolutionary conservation, and studied various properties in terms of the protein interaction networks that they participate in within different tissues [107].

This analysis allowed us to make many observations. First, <5% of the TS exons map to complete protein domains, suggesting that protein segments encoded by TS exons are unlikely to adopt a defined tertiary structure. Further investigation revealed that such segments are enriched in disordered regions, which contain linear motifs and PTM sites that are evolutionarily conserved between human and mouse orthologs [107]. A detailed analysis of the proteins containing such segments revealed that they tend to have more interaction partners and mediate a higher number of TS interactions in the respective tissues where they are known to be alternatively spliced. Collectively, these observations suggested that disordered TS segments are unlikely to be passive linkers that connect structured domains, but have the potential to mediate new interactions via peptide motifs and PTM sites [107].

To understand the molecular details of how TS exons can affect protein interactions, we systematically mapped the TS exons onto the known three-dimensional structures of proteins and protein complexes that were available in the Protein Data Bank [107]. This allowed us to describe the following general principles. TS splicing of disordered regions that contain (a) binding motifs can rewire protein interactions and thus contribute to the specificity of an interaction (Figure 6A) and (b) posttranslational modification sites can rewire signaling networks and make the protein a substrate for specific signaling proteins in a TS manner (Figure 6B). In this way, TS splicing of disordered segments can contribute to the rewiring of protein interactions and signaling networks in a TS manner and increase the diversity of protein networks in different tissues (Figure 7A) [107].

TS splicing can rewire protein interaction and signaling networks.

Figure 6.
TS splicing can rewire protein interaction and signaling networks.

TS splicing of IDRs can (A) affect interactions with other proteins by differential inclusion of linear peptide motifs and (B) influence whether a signaling enzyme can regulate a protein by differential inclusion of IDRs that contain posttranslational modification sites. Reprinted with permission from ref. [107].

Figure 6.
TS splicing can rewire protein interaction and signaling networks.

TS splicing of IDRs can (A) affect interactions with other proteins by differential inclusion of linear peptide motifs and (B) influence whether a signaling enzyme can regulate a protein by differential inclusion of IDRs that contain posttranslational modification sites. Reprinted with permission from ref. [107].

Close modal

Impact of TS splicing of IDRs on protein networks and complexes.

Figure 7.
Impact of TS splicing of IDRs on protein networks and complexes.

(A) Rewiring of protein interaction networks and signaling pathways by TS splicing. Reprinted with permission from ref. [107]. (B) Expression of multiple isoforms can affect response kinetics and influence cellular decision-making (ultra-sensitive behavior, dominant-negative response, and sequestration of interacting partners, leading to gain or loss of function).

Figure 7.
Impact of TS splicing of IDRs on protein networks and complexes.

(A) Rewiring of protein interaction networks and signaling pathways by TS splicing. Reprinted with permission from ref. [107]. (B) Expression of multiple isoforms can affect response kinetics and influence cellular decision-making (ultra-sensitive behavior, dominant-negative response, and sequestration of interacting partners, leading to gain or loss of function).

Close modal

In addition to affecting protein interactions, such splicing events can also affect protein complexes. More specifically, expression of two different isoforms that can still interact (e.g. through the protein segment encoded by a constitutive exon) can lead to hybrid complexes. Depending on the region that is spliced, different isoforms can sequester and compete for the same interaction partner, which can lead to dominant-negative response, ultra-sensitive response, or transient gain- or loss-of-function effects — depending on which proteins are sequestered into nonfunctional complexes (Figure 7B) [107]. This is highlighted by the expression of an isoform of p53, which contains the DNA-binding domain but not the transactivation domain, a disordered region that is required to recruit the transcriptional machinery [107,122]. Expression of this isoform competes for the same regulatory elements in the genome in the promoter region of the p53 target genes, but ends up repressing gene expression of the targets since the transactivation domain is missing in this isoform. This mechanism has been exploited during development, by influencing pluripotency and differentiation of embryonic stem cells [122].

In this manner, TS splicing of disordered segments leads to the recruitment of the same biochemical activity (often carried out by structured domains encoded by constitutive exons) to different molecular contexts by mediating new protein interactions through the differentially spliced unstructured segment [107]. For example, even though the substrate protein may be expressed in a certain tissue, the TS inclusion or exclusion of a disordered substrate-docking motif in kinases can determine whether the kinase domain can phosphorylate a substrate protein or not. Similarly, even though the kinase may be expressed in the cell type, the TS inclusion/exclusion of a disordered modifiable residue within a substrate can determine whether it can be regulated by that particular kinase or not. In the case of transcription factors, splicing of the disordered transactivation domain in a TS manner or during specific times in development can convert a transcription factor from an activator to a repressor and hence, the same set of target genes can show very different transcriptional responses in different tissue types [107].

A number of related studies have all independently described similar observations [106,111,119,123130]. Taken together, these studies reveal that alternative splicing of disordered segments can have important consequences [without affecting structured domain(s)] by rewiring signaling and regulatory networks in different cell types or during development. In this way, they increase the functional versatility of proteins by providing new contexts and expand the diversity of interaction networks in the different tissue types or at different time points during development. The plasticity associated with the divergence of alternative splicing between different organisms may have led to the emergence of novel phenotypes and increased complexity during organismal evolution [121,131,132].

Asymmetric localization of proteins is a key to a wide variety of functions ranging from signal transduction in neurons and asymmetric cell division during development to maintaining cellular morphology [133135]. The importance of asymmetric localization is apparent when localization goes awry, thereby leading to developmental defects and disease. For instance, in Drosophila embryos, mislocalization of Oskar mRNA to the anterior side produces embryos that have two abdomens with mirror-image symmetry [136]. Many studies over the last years have identified that there are two major mechanisms by which asymmetric localization of proteins can be achieved: The first mechanism involves protein transport after synthesis (translation), whereas the second one involves transport of the mRNA to specific locations in the cell followed by localized translation (Figure 8A) [134,137142]. Both mechanisms can generate asymmetric localization of proteins and often operate in the same cell type [134].

Asymmetric localization of proteins with IDRs.

Figure 8.
Asymmetric localization of proteins with IDRs.

(A) Mechanisms to achieve asymmetric protein localization — transported after synthesis (TAS) or on-site synthesis (OSS) after asymmetric mRNA localization. (B) Advantages and implications of localized translation upon asymmetric mRNA localization. Reprinted with permission from ref. [108].

Figure 8.
Asymmetric localization of proteins with IDRs.

(A) Mechanisms to achieve asymmetric protein localization — transported after synthesis (TAS) or on-site synthesis (OSS) after asymmetric mRNA localization. (B) Advantages and implications of localized translation upon asymmetric mRNA localization. Reprinted with permission from ref. [108].

Close modal

Are there differences between proteins that are transported after synthesis (TAS) compared with those that undergo on-site synthesis (OSS) after mRNA transport? To investigate this question, we first compiled multiple large-scale datasets that experimentally identified asymmetrically localized transcripts and proteins in fibroblasts, mouse neuronal cells, and rat dorsal root ganglion cells from embryo and adult [140,141,143146]. We then systematically integrated multiple large-scale datasets that described the structural properties of the proteins, mRNA, and protein expression levels, half-life, and functional features of proteins and transcripts to uncover the underlying trends [108].

This integrated large-scale analysis allowed us to make many observations, based on which we described general principles of how localized translation of transcripts that encode disordered proteins can (a) enhance signaling fidelity and sensitivity and (b) increase cellular complexity through precise spatial localization of proteins and formation of nonmembrane-bound assemblies (Figure 8B). A systematic comparison of structural properties revealed that TAS proteins are enriched in structured domains, whereas OSS proteins are enriched in disordered regions. Furthermore, proteins that are synthesized on-site are enriched in repeating linear motifs that have the potential to form higher-order assemblies. Such proteins also tend to be posttranslationally modified either within the motif or just around the motif, suggesting that OSS proteins might direct the flow of information and regulate the formation of reversible assemblies by using posttranslational modifications to switch protein interactions on/off. In addition, there was enrichment for OSS proteins encoding low-complexity regions; specifically, Q/N-rich regions and FG repeat-rich regions, both of which can undergo phase separation and form reversible, nonmembrane-bound assemblies. Taken together, these observations suggested that in contrast with transport after synthesis proteins, OSS proteins encode disordered regions, which contain multivalent, assembly-promoting segments that are surrounded by posttranslational modification sites (interaction/PTM switches; [41,47,147]). The trends were consistent across different cell types, organisms, and developmental stages, suggesting that these observations are likely to be applicable to different organisms [108].

Given the potentially promiscuous nature of such proteins, we then investigated how their availability is regulated. A systematic analysis of the protein abundance, protein half-life, transcript abundance, and transcript half-life revealed that OSS proteins and their transcripts are tightly regulated at almost every stage along the process of gene expression compared with the TAS group of proteins. An investigation of how the abundance and the PTM status of the two groups of asymmetrically localized proteins change over time after stimulating cells revealed that OSS proteins tend to increase their abundance more rapidly after stimulation compared with the TAS proteins. In summary, these findings suggested that proteins that are synthesized on-site are generally present in low abundance and are tightly temporally regulated. However, upon receiving a signal (e.g. stimulation with growth factors), they display a rapid increase in abundance and distinct phosphorylation dynamics [108].

There are many implications of the observations described here. Since many of the proteins that are synthesized on-site are likely to mediate promiscuous interactions and form higher-order assemblies, spatial localization of their transcripts to where they are required and their synthesis on demand by local translation can significantly restrict the likelihood of off-target interactions. Furthermore, since asymmetric mRNA localization decentralizes gene expression by decoupling transcription and translation, such a mechanism ensures that cells can rapidly respond to signals at the site where the signal is received and can process information within specific sub-cellular locations. In this way, localized translation after mRNA transport can sharpen the sensitivity of signaling networks and lead to nonlinear input–output responses for efficient information processing. It also ensures that while the overall copy number of the regulatory and signaling proteins may be low in a cell, at specific locations their local concentrations can be sufficiently high to help mediate their function (Figure 8B) [108].

On-site synthesis of proteins could further act as a general mechanism to ensure that nucleating proteins are available at the right place, in appropriate amounts, and only when required. In this manner, spatial control by localized translation may play a central role in signaling, by enhancing interaction fidelity and sensitivity, and by minimizing noisy, off-target interactions. Thus, together with other modes of regulation and temporal cues, such as signal integration via posttranslational modification, spatial control of proteins by localized translation can have a significant impact on cell signaling [108].

While many studies have shown how proteins with IDRs can contribute to increased functional versatility and cellular complexity, research over the last several years has also revealed the importance of IDRs in many human diseases [19,24]. Mutations that lead to the alteration in the levels of proteins with IDRs can result in protein aggregation, leading to diseases such as neurodegeneration. Not surprisingly, it has been reported that aggregates of IDPs are found in very high concentrations in plaques and brain deposits of patients with neurodegenerative diseases (Figure 9A). Similarly, mutations within IDRs that increase the aggregation propensity, such as those seen in the amyloid β-peptide, α-synuclein, and huntingtin, have been directly linked to diseases such as Alzheimer's, Parkinson's, and Huntington's diseases, respectively [7,19,24,86,87,148153].

IDRs and disease.

Figure 9.
IDRs and disease.

(A) IDRs are found in plaques and cellular deposits of patients with neurodegenerative disease. Reprinted with permission from ref. [161]. (B) Protein availability–outcome landscape. Tight regulation of proteins with IDRs (black arrow) ensures that they are present in the right amount and not longer than required. Adapted and reprinted with permission from refs [24,27,108].

Figure 9.
IDRs and disease.

(A) IDRs are found in plaques and cellular deposits of patients with neurodegenerative disease. Reprinted with permission from ref. [161]. (B) Protein availability–outcome landscape. Tight regulation of proteins with IDRs (black arrow) ensures that they are present in the right amount and not longer than required. Adapted and reprinted with permission from refs [24,27,108].

Close modal

It has been shown that IDRs are enriched in genes that participate in cell signaling and cancer-associated proteins, such as oncogenes or tumor suppressor genes [21]. Since IDRs typically contain motifs that can mediate low-affinity promiscuous interactions, altered abundance can form undesirable ectopic interactions and sequester other proteins into nonproductive complexes. In this manner, they can disturb the fine balance in many signaling and regulatory networks, leading to diseases such as cancer. Not surprisingly, gene fusions and missplicing of proteins with IDRs have also been associated with cancer [28,126,154]. Given our observations on the role of TS splicing and asymmetric localization of proteins with IDRs [107,108], it is likely that altered abundance of splicing factors and RNA-binding proteins that regulate the composition and the localization of mRNA may alter the protein sequence, localization, and availability of IDPs. This may result in off-target and potentially ectopic signaling events and might explain the molecular basis for cell type-specific disease phenotypes.

To address how the beneficial and potentially detrimental roles of proteins with IDRs are balanced in the cell, we investigated the availability of such proteins in a cell, both in terms of the time spent in the cell as well as in the steady-state amounts of IDPs and their transcripts in many organisms, ranging from yeast to human (Figure 9B). We and others have observed that proteins with IDRs are more tightly regulated than those with structured domains at multiple stages of gene expression, ranging from transcript synthesis to protein degradation [27,109,155]. In this manner, IDPs are tightly regulated to be present in the right abundance and for the appropriate amount of time in a cell. As long as this happens, the desirable outcome, such as interaction fidelity and solubility, is achieved. However, if their half-life or protein abundance is significantly altered, that may lead to undesirable outcomes such as protein aggregation or signaling cross-talk due to nonfunctional promiscuous interactions [24,27,109]. We suggested that, within a cell, a co-ordinated tight regulation of IDPs at several stages of transcription and translation ensures that they are present for short amounts of time and in low quantities [27,109]. This strategy minimizes the harmful effects of IDPs and at the same time permits their vital contribution to the functioning of the cell. An important implication of this observation is that, in addition to mutations that affect the IDPs and cause disease, mutations affecting genes that regulate IDPs availability can be an important class of disease genes that should be closely investigated in genome-wide association studies of human diseases [24,27].

We have come a long way in our understanding of how proteins carry out their function in cells. In addition to the structured domains, which ensure precise positioning of side chains of specific amino acids in spatial proximity to carry out their function, IDRs, which adopt multiple conformational states, are emerging to be fundamental units of protein function and regulation. IDRs are not just passive linkers that connect different structured domains, but actively provide new contexts to structured domains and, hence, enhance the functional space associated with proteins (Figure 10A). IDRs are not all the same, but they can be classified into different groups based on various properties (Figure 10B) [7]. Since the number of functional residues in IDRs is small and clustered in the linear sequence (e.g. short linear motifs that mediate protein interactions), they can be gained and lost rapidly during evolution [41,42,156]. Thus, IDRs, in otherwise less evolvable proteins (e.g. developmentally important proteins), facilitate the exploration of new functional landscapes by changing the context in which the biochemical function can be applied. Therefore, disordered regions need to be studied in the right biological context to understand how complex functions emerge in cellular systems.

IDRs are fundamental units of protein function, regulation and evolution.

Figure 10.
IDRs are fundamental units of protein function, regulation and evolution.

(A) Synergy between structured domains and IDRs increases the functional versatility of proteins. Reprinted with permission from ref. [12]. (B) Classification of IDRs and IDPs. Reprinted with permission from ref. [7].

Figure 10.
IDRs are fundamental units of protein function, regulation and evolution.

(A) Synergy between structured domains and IDRs increases the functional versatility of proteins. Reprinted with permission from ref. [12]. (B) Classification of IDRs and IDPs. Reprinted with permission from ref. [7].

Close modal

In conclusion, it is an exciting time for researchers who are investigating proteins with IDRs. Given the emerging importance of IDRs and a newfound understanding of their biomedical relevance, many discoveries regarding their myriad roles are yet to be unraveled. IDRs are now to researchers what the first few protein structures were to biologists half a century ago. We have witnessed the knowledge and impact on human health of the structure–function paradigm in the last 50 years. If structured proteins are only half the story, it brings to our attention the enormous possibilities and the potential of disordered proteins that remains to be tapped for bettering human health and revolutionizing medicine.

AP2, adaptor protein complex 2; CBP, CREB-binding protein; CDK, cyclin dependent kinase; CREB, cAMP response element binding protein; FG repeat, phenylalanine-glycine repeat; GPCRs, G-protein coupled receptors; IDPs, intrinsically disordered proteins; IDRs, intrinsically disordered regions; MCL1, myeloid cell leukaemia 1; OSS, on-site synthesis; P-bodies, processing bodies; PTM, post-translational modification; PUMA, p53 up-regulated modulator of apoptosis; TAS, transported after synthesis; TS, tissue-specific.

None of this work would have been possible without the continued funding from the Medical Research Council [MC_U105185859] and support from EMBO, HFSP, BBSRC/ERASysBio+, the Royal Society, Trinity College, Darwin College, and the Lister Institute Research Prize.

Since this is a review based on the UK Biochemical Society's Colworth Medal Lecture, I have emphasized the work done by our group, while highlighting work from other groups where possible. I apologize for not citing all relevant and exciting studies from the growing literature on this topic. These are extensively covered in some of the reviews cited here. I thank all of my present and past group members, collaborators, and colleagues. Specifically, I thank Jorg Gsponer (IDP and regulation), Marija Buljan (IDP and splicing), and Robert Weatheritt (IDP and localized translation). I acknowledge my mentors for their support throughout my career. I thank Alexey Morgunov, Natasha Latysheva, Hannes Harbrecht, and Andrija Sente for their comments on this manuscript.

The Author declares that there are no competing interests associated with this manuscript.

1
Anfinsen
,
C.B.
(
1973
)
Principles that govern the folding of protein chains
.
Science
181
,
223
230
doi:
2
Fersht
,
A.R.
(
2008
)
From the first protein structures to our current knowledge of protein folding: delights and scepticisms
.
Nat. Rev. Mol. Cell Biol.
9
,
650
654
doi:
3
Wright
,
P.E.
and
Dyson
,
H.J.
(
1999
)
Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm
.
J. Mol. Biol.
293
,
321
331
doi:
4
Kriwacki
,
R.W.
,
Hengst
,
L.
,
Tennant
,
L.
,
Reed
,
S.I.
and
Wright
,
P.E.
(
1996
)
Structural studies of p21Waf1/Cip1/Sdi1 in the free and Cdk2-bound state: conformational disorder mediates binding diversity
.
Proc. Natl Acad. Sci. USA
93
,
11504
11509
doi:
5
Romero
,
P.
,
Obradovic
,
Z.
,
Kissinger
,
C.R.
,
Villafranca
,
J.E.
,
Garner
,
E.
,
Guilliot
,
S.
et al.
(
1998
)
Thousands of proteins likely to have long disordered regions
.
Pac. Symp. Biocomput.
437
448
PMID:
[PubMed]
6
Mittag
,
T.
,
Kay
,
L.E.
and
Forman-Kay
,
J.D.
(
2010
)
Protein dynamics and conformational disorder in molecular recognition
.
J. Mol. Recognit.
23
,
105
116
doi:
7
van der Lee
,
R.
,
Buljan
,
M.
,
Lang
,
B.
,
Weatheritt
,
R.J.
,
Daughdrill
,
G.W.
,
Dunker
,
A.K.
et al.
(
2014
)
Classification of intrinsically disordered regions and proteins
.
Chem. Rev.
114
,
6589
6631
doi:
8
Tompa
,
P.
(
2012
)
Intrinsically disordered proteins: a 10-year recap
.
Trends Biochem. Sci.
37
,
509
516
doi:
9
Wright
,
P.E.
and
Dyson
,
H.J.
(
2015
)
Intrinsically disordered proteins in cellular signalling and regulation
.
Nat. Rev. Mol. Cell Biol.
16
,
18
29
doi:
10
Uversky
,
V.N.
and
Dunker
,
A.K.
(
2010
)
Understanding protein non-folding
.
Biochim. Biophys. Acta, Proteins Proteomics
1804
,
1231
1264
doi:
11
Oldfield
,
C.J.
and
Dunker
,
A.K.
(
2014
)
Intrinsically disordered proteins and intrinsically disordered protein regions
.
Annu. Rev. Biochem.
83
,
553
584
doi:
12
Babu
,
M.M.
,
Kriwacki
,
R.W.
and
Pappu
,
R.V.
(
2012
)
Structural biology. Versatility from protein disorder
.
Science
337
,
1460
1461
PMID:
[PubMed]
13
Dunker
,
A.K.
and
Kriwacki
,
R.W.
(
2011
)
The orderly chaos of proteins
.
Sci. Am.
304
,
68
73
doi:
14
Forman-Kay
,
J.D.
and
Mittag
,
T.
(
2013
)
From sequence and forces to structure, function, and evolution of intrinsically disordered proteins
.
Structure
21
,
1492
1499
doi:
15
Latysheva
,
N.S.
,
Flock
,
T.
,
Weatheritt
,
R.J.
,
Chavali
,
S.
and
Babu
,
M.M.
(
2015
)
How do disordered regions achieve comparable functions to structured domains?
Protein Sci.
24
,
909
922
doi:
16
Oates
,
M.E.
,
Romero
,
P.
,
Ishida
,
T.
,
Ghalwash
,
M.
,
Mizianty
,
M.J.
,
Xue
,
B.
et al.
(
2013
)
D2P2: database of disordered protein predictions
.
Nucleic Acids Res.
41
,
D508
D516
doi:
17
Ward
,
J.J.
,
Sodhi
,
J.S.
,
McGuffin
,
L.J.
,
Buxton
,
B.F.
and
Jones
,
D.T.
(
2004
)
Prediction and functional analysis of native disorder in proteins from the three kingdoms of life
.
J. Mol. Biol.
337
,
635
645
doi:
18
Potenza
,
E.
,
Domenico
,
T.D.
,
Walsh
,
I.
and
Tosatto
,
S.C.E.
(
2015
)
MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins
.
Nucleic Acids Res.
43
,
D315
D320
doi:
19
Uversky
,
V.N.
,
Oldfield
,
C.J.
and
Dunker
,
A.K.
(
2008
)
Intrinsically disordered proteins in human diseases: introducing the D2 concept
.
Annu. Rev. Biophys.
37
,
215
246
doi:
20
Uversky
,
V.N.
(
2014
)
The triple power of D3: protein intrinsic disorder in degenerative diseases
.
Front. Biosci.
19
,
181
258
doi:
21
Iakoucheva
,
L.M.
,
Brown
,
C.J.
,
Lawson
,
J.D.
,
Obradović
,
Z.
and
Dunker
,
A.K.
(
2002
)
Intrinsic disorder in cell-signaling and cancer-associated proteins
.
J. Mol. Biol.
323
,
573
584
doi:
22
Vacic
,
V.
,
Markwick
,
P.R.L.
,
Oldfield
,
C.J.
,
Zhao
,
X.
,
Haynes
,
C.
,
Uversky
,
V.N.
et al.
(
2012
)
Disease-associated mutations disrupt functionally important regions of intrinsic protein disorder
.
PLoS Comput. Biol.
8
,
e1002709
doi:
23
Vacic
,
V.
and
Iakoucheva
,
L.M.
(
2012
)
Disease mutations in disordered regions — exception to the rule?
Mol. Biosyst.
8
,
27
32
doi:
24
Babu
,
M.M.
,
van der Lee
,
R.
,
de Groot
,
N.S.
and
Gsponer
,
J.
(
2011
)
Intrinsically disordered proteins: regulation and disease
.
Curr. Opin. Struct. Biol.
21
,
432
440
doi:
25
Pajkos
,
M.
,
Mészáros
,
B.
,
Simon
,
I.
and
Dosztányi
,
Z.
(
2012
)
Is there a biological cost of protein disorder? Analysis of cancer-associated mutations
.
Mol. Biosyst.
8
,
296
307
doi:
26
Uyar
,
B.
,
Weatheritt
,
R.J.
,
Dinkel
,
H.
,
Davey
,
N.E.
and
Gibson
,
T.J.
(
2014
)
Proteome-wide analysis of human disease mutations in short linear motifs: neglected players in cancer?
Mol. Biosyst.
10
,
2626
2642
doi:
27
Gsponer
,
J.
and
Babu
,
M.M.
(
2012
)
Cellular strategies for regulating functional and nonfunctional protein aggregation
.
Cell Rep.
2
,
1425
1437
doi:
28
Latysheva
,
N.S.
and
Babu
,
M.M.
(
2016
)
Discovering and understanding oncogenic gene fusions through data intensive computational approaches
.
Nucleic Acids Res.
44
,
4487
4503
doi:
29
Chothia
,
C.
(
1974
)
Hydrophobic bonding and accessible surface area in proteins
.
Nature
248
,
338
339
doi:
30
Chothia
,
C.
(
1975
)
Structural invariants in protein folding
.
Nature
254
,
304
308
doi:
31
Uversky
,
V.N.
,
Gillespie
,
J.R.
and
Fink
,
A.L.
(
2000
)
Why are “natively unfolded” proteins unstructured under physiologic conditions?
Proteins: Struct., Funct., Bioinf.
41
,
415
427
doi:
32
Dyson
,
H.J.
and
Wright
,
P.E.
(
2005
)
Intrinsically unstructured proteins and their functions
.
Nat. Rev. Mol. Cell Biol.
6
,
197
208
doi:
33
Burger
,
V.M.
,
Nolasco
,
D.O.
and
Stultz
,
C.M.
(
2016
)
Expanding the range of protein function at the far end of the order-structure continuum
.
J. Biol. Chem.
291
,
6706
6713
doi:
34
Wei
,
G.
,
Xi
,
W.
,
Nussinov
,
R.
and
Ma
,
B.
(
2016
)
Protein ensembles: how does nature harness thermodynamic fluctuations for life? The diverse functional roles of conformational ensembles in the cell
.
Chem. Rev.
116
,
6516
6551
doi:
35
Mao
,
A.H.
,
Crick
,
S.L.
,
Vitalis
,
A.
,
Chicoine
,
C.L.
and
Pappu
,
R.V.
(
2010
)
Net charge per residue modulates conformational ensembles of intrinsically disordered proteins
.
Proc. Natl Acad. Sci. USA
107
,
8183
8188
doi:
36
Muller-Spath
,
S.
,
Soranno
,
A.
,
Hirschfeld
,
V.
,
Hofmann
,
H.
,
Ruegger
,
S.
,
Reymond
,
L.
et al.
(
2010
)
Charge interactions can dominate the dimensions of intrinsically disordered proteins
.
Proc. Natl Acad. Sci. USA
107
,
14609
14614
doi:
37
Marsh
,
J.A.
and
Forman-Kay
,
J.D.
(
2010
)
Sequence determinants of compaction in intrinsically disordered proteins
.
Biophys. J.
98
,
2383
2390
doi:
38
Das
,
R.K.
,
Ruff
,
K.M.
and
Pappu
,
R.V.
(
2015
)
Relating sequence encoded information to form and function of intrinsically disordered proteins
.
Curr. Opin. Struct. Biol.
32
,
102
112
doi:
39
Das
,
R.K.
,
Huang
,
Y.
,
Phillips
,
A.H.
,
Kriwacki
,
R.W.
and
Pappu
,
R.V.
(
2016
)
Cryptic sequence features within the disordered protein p27 Kip1 regulate cell cycle signaling
.
Proc. Natl Acad. Sci. USA
113
,
5616
5621
doi:
40
Das
,
R.K.
and
Pappu
,
R.V.
(
2013
)
Conformations of intrinsically disordered proteins are influenced by linear sequence distributions of oppositely charged residues
.
Proc. Natl Acad. Sci. USA
110
,
13392
13397
doi:
41
Van Roey
,
K.
,
Uyar
,
B.
,
Weatheritt
,
R.J.
,
Dinkel
,
H.
,
Seiler
,
M.
,
Budd
,
A.
et al.
(
2014
)
Short linear motifs: ubiquitous and functionally diverse protein interaction modules directing cell regulation
.
Chem. Rev.
114
,
6733
6778
doi:
42
Tompa
,
P.
,
Davey
,
N.E.
,
Gibson
,
T.J.
and
Babu
,
M.M.
(
2014
)
A million peptide motifs for the molecular biologist
.
Mol. Cell
55
,
161
169
doi:
43
Davey
,
N.E.
,
Van Roey
,
K.
,
Weatheritt
,
R.J.
,
Toedt
,
G.
,
Uyar
,
B.
,
Altenberg
,
B.
et al.
(
2012
)
Attributes of short linear motifs
.
Mol. Biosyst.
8
,
268
281
doi:
44
Diella
,
F.
,
Haslam
,
N.
,
Chica
,
C.
,
Budd
,
A.
,
Michael
,
S.
,
Brown
,
N.P.
et al.
(
2008
)
Understanding eukaryotic linear motifs and their role in cell signaling and regulation
.
Front. Biosci.
13
,
6580
6603
doi:
45
Schmid
,
E.M.
and
McMahon
,
H.T.
(
2007
)
Integrating molecular and network biology to decode endocytosis
.
Nature
448
,
883
888
doi:
46
Praefcke
,
G.J.K.
,
Ford
,
M.G.J.
,
Schmid
,
E.M.
,
Olesen
,
L.E.
,
Gallop
,
J.L.
,
Peak-Chew
,
S.-Y.
et al.
(
2004
)
Evolving nature of the AP2 α-appendage hub during clathrin-coated vesicle endocytosis
.
EMBO J.
23
,
4371
4383
doi:
47
Van Roey
,
K.
,
Gibson
,
T.J.
and
Davey
,
N.E.
(
2012
)
Motif switches: decision-making in cell regulation
.
Curr. Opin. Struct. Biol.
22
,
378
385
doi:
48
Bah
,
A.
,
Vernon
,
R.M.
,
Siddiqui
,
Z.
,
Krzeminski
,
M.
,
Muhandiram
,
R.
,
Zhao
,
C.
et al.
(
2015
)
Folding of an intrinsically disordered protein by phosphorylation as a regulatory switch
.
Nature
519
,
106
109
doi:
49
Venkatakrishnan
,
A.J.
,
Flock
,
T.
,
Prado
,
D.E.
,
Oates
,
M.E.
,
Gough
,
J.
and
Madan, B.
M.
(
2014
)
Structured and disordered facets of the GPCR fold
.
Curr. Opin. Struct. Biol.
27
,
129
137
doi:
50
Dinkel
,
H.
,
Van Roey
,
K.
,
Michael
,
S.
,
Kumar
,
M.
,
Uyar
,
B.
,
Altenberg
,
B.
et al.
(
2016
)
ELM 2016—data update and new functionality of the eukaryotic linear motif resource
.
Nucleic Acids Res.
44
,
D294
D300
doi:
51
Seet
,
B.T.
,
Dikic
,
I.
,
Zhou
,
M.-M.
and
Pawson
,
T.
(
2006
)
Reading protein modifications with interaction domains
.
Nat. Rev. Mol. Cell Biol.
7
,
473
483
doi:
52
Gsponer
,
J.
and
Babu
,
M.M.
(
2009
)
The rules of disorder or why disorder rules
.
Prog. Biophys. Mol. Biol.
99
,
94
103
doi:
53
van der Lee
,
R.
,
Lang
,
B.
,
Kruse
,
K.
,
Gsponer
,
J.
,
Sánchez de Groot
,
N.
,
Huynen
,
M.A.
et al.
(
2014
)
Intrinsically disordered segments affect protein half-life in the cell and during evolution
.
Cell Rep.
8
,
1832
1844
doi:
54
Fishbain
,
S.
,
Inobe
,
T.
,
Israeli
,
E.
,
Chavali
,
S.
,
Yu
,
H.
,
Kago
,
G.
et al.
(
2015
)
Sequence composition of disordered regions fine-tunes protein half-life
.
Nat. Struct. Mol. Biol.
22
,
214
221
doi:
55
Prakash
,
S.
,
Inobe
,
T.
,
Hatch
,
A.J.
and
Matouschek
,
A.
(
2009
)
Substrate selection by the proteasome during degradation of protein complexes
.
Nat. Chem. Biol.
5
,
29
36
doi:
56
Inobe
,
T.
,
Fishbain
,
S.
,
Prakash
,
S.
and
Matouschek
,
A.
(
2011
)
Defining the geometry of the two-component proteasome degron
.
Nat. Chem. Biol.
7
,
161
167
doi:
57
Sasaki
,
K.
,
Dockerill
,
S.
,
Adamiak
,
D.A.
,
Tickle
,
I.J.
and
Blundell
,
T.
(
1975
)
X-ray analysis of glucagon and its relationship to receptor binding
.
Nature
257
,
751
757
doi:
58
Guharoy
,
M.
,
Bhowmick
,
P.
,
Sallam
,
M.
and
Tompa
,
P.
(
2016
)
Tripartite degrons confer diversity and specificity on regulated protein degradation in the ubiquitin-proteasome system
.
Nat. Commun.
7
,
10239
doi:
59
Guharoy
,
M.
,
Bhowmick
,
P.
and
Tompa
,
P.
(
2016
)
Design principles involving protein disorder facilitate specific substrate selection and degradation by the ubiquitin-proteasome system
.
J. Biol. Chem.
291
,
6723
6731
doi:
60
Flock
,
T
,
Weatheritt
,
R.J.
,
Latysheva
,
N.S.
and
Babu
,
M.M.
(
2014
)
Controlling entropy to tune the functions of intrinsically disordered regions
.
Curr. Opin. Struct. Biol.
26
,
62
72
doi:
61
Mittag
,
T.
,
Orlicky
,
S.
,
Choy
,
W.-Y.
,
Tang
,
X.
,
Lin
,
H.
,
Sicheri
,
F.
et al.
(
2008
)
Dynamic equilibrium engagement of a polyvalent ligand with a single-site receptor
.
Proc. Natl Acad. Sci. USA
105
,
17772
17777
doi:
62
Galea
,
C.A.
,
Wang
,
Y.
,
Sivakolundu
,
S.G.
and
Kriwacki
,
R.W.
(
2008
)
Regulation of cell division by intrinsically unstructured proteins: intrinsic flexibility, modularity and signaling conduits
.
Biochemistry
47
,
7598
7609
doi:
63
Jakob
,
U.
,
Kriwacki
,
R.
and
Uversky
,
V.N.
(
2014
)
Conditionally and transiently disordered proteins: awakening cryptic disorder to regulate protein function
.
Chem. Rev.
114
,
6779
6805
doi:
64
Rogers
,
J.M.
,
Oleinikovas
,
V.
,
Shammas
,
S.L.
,
Wong
,
C.T.
,
De Sancho
D.
,
Baker
,
C.M.
et al.
(
2014
)
Interplay between partner and ligand facilitates the folding and binding of an intrinsically disordered protein
.
Proc. Natl Acad. Sci. USA
111
,
15420
15425
doi:
65
Shammas
,
S.L.
,
Travis
,
A.J.
and
Clarke
,
J.
(
2013
)
Remarkably fast coupled folding and binding of the intrinsically disordered transactivation domain of cMyb to CBP KIX
.
J. Phys. Chem. B
117
,
13346
13356
doi:
66
Kragelund
,
B.B.
,
Schenstrøm
,
S.M.
,
Rebula
,
C.A.
,
Panse
,
V.G.
and
Hartmann-Petersen
,
R.
(
2016
)
DSS1/Sem1, a multifunctional and intrinsically disordered protein
.
Trends Biochem. Sci.
41
,
446
459
doi:
67
Lobley
,
A.
,
Swindells
,
M.B.
,
Orengo
,
C.A.
and
Jones
,
D.T.
(
2007
)
Inferring function using patterns of native disorder in proteins
.
PLoS Comput. Biol.
3
,
e162
doi:
68
Dunker
,
A.K.
,
Oldfield
,
C.J.
,
Meng
,
J.
,
Romero
,
P.
,
Yang
,
J.Y.
,
Chen
,
J.
et al.
(
2008
)
The unfoldomics decade: an update on intrinsically disordered proteins
.
BMC Genomics
9
(
Suppl. 2
),
S1
doi:
69
Xie
,
H.
,
Vucetic
S.
,
Iakoucheva
,
L.M.
,
Oldfield
,
C.J.
,
Dunker
,
A.K.
,
Obradovic
,
Z.
et al.
(
2007
)
Functional anthology of intrinsic disorder. 3. Ligands, post-translational modifications and diseases associated with intrinsically disordered proteins
.
J. Proteome Res.
6
,
1917
1932
doi:
70
Dunker
,
A.K.
,
Bondos
,
S.E.
,
Huang
,
F.
and
Oldfield
,
C.J.
(
2015
)
Intrinsically disordered proteins and multicellular organisms
.
Semin. Cell Dev. Biol.
37
,
44
55
doi:
71
Wright
,
P.E.
and
Dyson
,
H.J.
(
2009
)
Linking folding and binding
.
Curr. Opin. Struct. Biol.
19
,
31
38
doi:
72
Dyson
,
H.J.
and
Wright
,
P.E.
(
2002
)
Coupling of folding and binding for unstructured proteins
.
Curr. Opin. Struct. Biol.
12
,
54
60
doi:
73
Arai
,
M.
,
Sugase
,
K.
,
Dyson
,
H.J.
and
Wright
,
P.E.
(
2015
)
Conformational propensities of intrinsically disordered proteins influence the mechanism of binding and folding
.
Proc. Natl Acad. Sci. USA
112
,
9614
9619
doi:
74
Liu
,
B.
,
Chia
,
D.
,
Csizmok
,
V.
,
Farber
,
P.
,
Forman-Kay
,
J.D.
and
Gradinaru
,
C.C.
(
2014
)
The effect of intrachain electrostatic repulsion on conformational disorder and dynamics of the Sic1 protein
.
J. Phys. Chem. B
118
,
4088
4097
doi:
75
Fuxreiter
,
M.
,
Simon
,
I.
and
Bondos
,
S.
(
2011
)
Dynamic protein–DNA recognition: beyond what can be seen
.
Trends Biochem. Sci.
36
,
415
423
doi:
76
Fuxreiter
,
M.
(
2012
)
Fuzziness: linking regulation to protein dynamics
.
Mol. Biosyst.
8
,
168
177
doi:
77
Tompa
,
P.
and
Fuxreiter
,
M.
(
2008
)
Fuzzy complexes: polymorphism and structural disorder in protein–protein interactions
.
Trends Biochem. Sci.
33
,
2
8
doi:
78
Sigalov
,
A.B.
,
Zhuravleva
,
A.V.
and
Orekhov
,
V.Y.
(
2007
)
Binding of intrinsically disordered proteins is not necessarily accompanied by a structural transition to a folded form
.
Biochimie
89
,
419
421
doi:
79
Dunker
,
A.K.
,
Garner
,
E.
,
Guilliot
,
S.
,
Romero
,
P.
,
Albrecht
,
K.
,
Hart
,
J.
et al.
(
1998
)
Protein disorder and the evolution of molecular recognition: theory, predictions and observations
.
Pac. Symp. Biocomput.
473
484
PMID:
[PubMed]
80
Zhou
,
H.-X.
(
2012
)
Intrinsic disorder: signaling via highly specific but short-lived association
.
Trends Biochem. Sci.
37
,
43
48
doi:
81
Shammas
,
S.L.
,
Crabtree
,
M.D.
,
Dahal
,
L.
,
Wicky
,
B.I.M.
and
Clarke
,
J.
(
2016
)
Insights into coupled folding and binding mechanisms from kinetic studies
.
J. Biol. Chem.
291
,
6689
6695
doi:
82
Umezawa
,
K.
,
Ohnuki
,
J.
,
Higo
,
J.
and
Takano
,
M.
(
2016
)
Intrinsic disorder accelerates dissociation rather than association
.
Proteins: Struct., Funct., Bioinf.
84
,
1124
1133
doi:
83
Shoemaker
,
B.A.
,
Portman
,
J.J.
and
Wolynes
,
P.G.
(
2000
)
Speeding molecular recognition by using the folding funnel: the fly-casting mechanism
.
Proc. Natl Acad. Sci. USA
97
,
8868
8873
doi:
84
Shammas
,
S.L.
,
Travis
,
A.J.
and
Clarke
,
J.
(
2014
)
Allostery within a transcription coactivator is predominantly mediated through dissociation rate constants
.
Proc. Natl Acad. Sci. USA
111
,
12055
12060
doi:
85
Rogers
,
J.M.
,
Wong
,
C.T.
and
Clarke
,
J.
(
2014
)
Coupled folding and binding of the disordered protein PUMA does not require particular residual structure
.
J. Am. Chem. Soc.
136
,
5197
5200
doi:
86
Wu
,
H.
and
Fuxreiter
,
M.
(
2016
)
The structure and dynamics of higher-order assemblies: amyloids, signalosomes, and granules
.
Cell
165
,
1055
1066
doi:
87
Toretsky
,
J.A.
and
Wright
,
P.E.
(
2014
)
Assemblages: functional units formed by cellular phase separation
.
J. Cell Biol.
206
,
579
588
doi:
88
Mitrea
,
D.M.
and
Kriwacki
,
R.W.
(
2016
)
Phase separation in biology; functional organization of a higher order
.
Cell Commun. Signal.
14
,
1
doi:
89
Holehouse
,
A.S.
and
Pappu
,
R.V.
(
2015
)
Protein polymers: encoding phase transitions
.
Nat. Mater.
14
,
1083
1084
doi:
90
Banjade
,
S.
,
Wu
,
Q.
,
Mittal
,
A.
,
Peeples
,
W.B.
,
Pappu
,
R.V.
and
Rosen
,
M.K.
(
2015
)
Conserved interdomain linker promotes phase separation of the multivalent adaptor protein Nck
.
Proc. Natl Acad. Sci. USA
112
,
E6426
E6435
doi:
91
Su
,
X.
,
Ditlev
,
J.A.
,
Hui
,
E.
,
Xing
,
W.
,
Banjade
,
S.
and
Okrut
,
J.
(
2016
)
Phase separation of signaling molecules promotes T cell receptor signal transduction
.
Science
352
,
595
599
doi:
92
Li
,
P.
,
Banjade
,
S.
,
Cheng
,
H.-C.
,
Kim
,
S.
,
Chen
,
B.
,
Guo
,
L.
et al.
(
2012
)
Phase transitions in the assembly of multivalent signalling proteins
.
Nature
483
,
336
340
doi:
93
Nott
,
T.J.
,
Petsalaki
,
E.
,
Farber
,
P.
,
Jervis
,
D.
,
Fussner
,
E.
,
Plochowietz
,
A.
et al.
(
2015
)
Phase transition of a disordered nuage protein generates environmentally responsive membraneless organelles
.
Mol. Cell
57
,
936
947
doi:
94
Csizmok
,
V.
,
Follis
,
A.V.
,
Kriwacki
,
R.W.
and
Forman-Kay
,
J.D.
(
2016
)
Dynamic protein interaction networks and new structural paradigms in signaling
.
Chem. Rev.
116
,
6424
6462
doi:
95
Feric
,
M.
,
Vaidya
,
N.
,
Harmon
,
T.S.
,
Mitrea
,
D.M.
,
Zhu
,
L.
,
Richardson
,
T.M.
et al.
(
2016
)
Coexisting liquid phases underlie nucleolar subcompartments
.
Cell
165
,
1686
1697
doi:
96
Bergeron-Sandoval
,
L.-P.
,
Safaee
,
N.
and
Michnick
,
S.W.
(
2016
)
Mechanisms and consequences of macromolecular phase separation
.
Cell
165
,
1067
1079
doi:
97
Cumberworth
,
A.
,
Lamour
,
G.
,
Babu
,
M.M.
and
Gsponer
,
J.
(
2013
)
Promiscuity as a functional trait: intrinsically disordered regions as central players of interactomes
.
Biochem. J.
454
,
361
369
doi:
98
Pak
,
C.W.
,
Kosno
,
M.
,
Holehouse
,
A.S.
,
Padrick
,
S.B.
,
Mittal
,
A.
,
Ali
,
R.
et al.
(
2016
)
Sequence determinants of intracellular phase separation by complex coacervation of a disordered protein
.
Mol. Cell
63
,
72
85
doi:
99
Lin
,
Y.
,
Protter
,
D.S.W.
,
Rosen
,
M.K.
and
Parker
,
R.
(
2015
)
Formation and maturation of phase-separated liquid droplets by RNA-binding proteins
.
Mol. Cell
60
,
208
219
doi:
100
Frey
,
S.
,
Richter
,
R.P.
and
Gorlich
,
D.
(
2006
)
FG-rich repeats of nuclear pore proteins form a three-dimensional meshwork with hydrogel-like properties
.
Science
314
,
815
817
doi:
101
Xiang
,
S.
,
Kato
,
M.
,
Wu
,
L.C.
,
Lin
,
Y.
,
Ding
,
M.
,
Zhang
,
Y.
et al.
(
2015
)
The LC domain of hnRNPA2 adopts similar conformations in hydrogel polymers, liquid-like droplets, and nuclei
.
Cell
163
,
829
839
doi:
102
Sanchez de Groot
,
N.
,
Torrent
,
M.
,
Villar-Piqué
,
A.
,
Lang
,
B.
,
Ventura
,
S.
,
Gsponer
,
J.
et al.
(
2012
)
Evolutionary selection for protein aggregation
.
Biochem. Soc. Trans.
40
,
1032
1037
doi:
103
Motlagh
,
H.N.
,
Wrabl
,
J.O.
,
Li
,
J.
and
Hilser
,
V.J.
(
2014
)
The ensemble nature of allostery
.
Nature
508
,
331
339
doi:
104
Hilser
,
V.J.
and
Thompson
,
E.B.
(
2007
)
Intrinsic disorder as a mechanism to optimize allosteric coupling in proteins
.
Proc. Natl Acad. Sci. USA
104
,
8311
8315
doi:
105
Motlagh
,
H.N.
,
Li
,
J.
,
Thompson
,
E.B.
and
Hilser
,
V.J.
(
2012
)
Interplay between allostery and intrinsic disorder in an ensemble
.
Biochem. Soc. Trans.
40
,
975
980
doi:
106
Buljan
,
M.
,
Chalancon
,
G.
,
Dunker
,
A.K.
,
Bateman
,
A.
,
Balaji
,
S.
,
Fuxreiter
,
M.
et al.
(
2013
)
Alternative splicing of intrinsically disordered regions and rewiring of protein interactions
.
Curr. Opin. Struct. Biol.
23
,
443
450
doi:
107
Buljan
,
M.
,
Chalancon
,
G.
,
Eustermann
,
S.
,
Wagner
,
G.P.
,
Fuxreiter
,
M.
,
Bateman
,
A.
et al.
(
2012
)
Tissue-specific splicing of disordered segments that embed binding motifs rewires protein interaction networks
.
Mol. Cell
46
,
871
883
doi:
108
Weatheritt
,
R.J.
,
Gibson
,
T.J.
and
Babu
,
M.M.
(
2014
)
Asymmetric mRNA localization contributes to fidelity and sensitivity of spatially localized systems
.
Nat. Struct. Mol. Biol.
21
,
833
839
doi:
109
Gsponer
,
J.
,
Futschik
,
M.E.
,
Teichmann
,
S.A.
and
Babu
,
M.M.
(
2008
)
Tight regulation of unstructured proteins: from transcript synthesis to protein degradation
.
Science
322
,
1365
1368
doi:
110
Keren
,
H.
,
Lev-Maor
,
G.
and
Ast
,
G.
(
2010
)
Alternative splicing and evolution: diversification, exon definition and function
.
Nat. Rev. Genet.
11
,
345
355
doi:
111
Merkin
,
J.
,
Russell
,
C.
,
Chen
,
P.
and
Burge
,
C.B.
(
2012
)
Evolutionary dynamics of gene and isoform regulation in mammalian tissues
.
Science
338
,
1593
1599
doi:
112
de Klerk
,
E.
and
‘t Hoen
,
P.A.
(
2015
)
Alternative mRNA transcription, processing, and translation: insights from RNA sequencing
.
Trends Genet.
31
,
128
139
doi:
113
Pan
,
Q.
,
Shai
,
O.
,
Lee
,
L.J.
,
Frey
,
B.J.
and
Blencowe
,
B.J.
(
2008
)
Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing
.
Nat. Genet.
40
,
1413
1415
doi:
114
Hao
,
Y.
,
Colak
,
R.
,
Teyra
,
J.
,
Corbi-Verge
,
C.
,
Ignatchenko
,
A.
,
Hahne
,
H.
et al.
(
2015
)
Semi-supervised learning predicts approximately one third of the alternative splicing isoforms as functional proteins
.
Cell Rep.
12
,
183
189
doi:
115
Abascal
,
F.
,
Ezkurdia
,
I.
,
Rodriguez-Rivas
,
J.
,
Rodriguez
,
J.M.
,
del Pozo
,
A.
,
Vázquez
,
J.
et al.
(
2015
)
Alternatively spliced homologous exons have ancient origins and are highly expressed at the protein level
.
PLoS Comput. Biol.
11
,
e1004325
doi:
116
Tress
,
M.L.
,
Bodenmiller
,
B.
,
Aebersold
,
R.
and
Valencia
,
A.
(
2008
)
Proteomics studies confirm the presence of alternative protein isoforms on a large scale
.
Genome Biol.
9
,
R162
doi:
117
Tress
,
M.L.
,
Martelli
,
P.L.
,
Frankish
,
A.
,
Reeves
,
G.A.
,
Wesselink
,
J.J.
,
Yeats
,
C.
et al.
(
2007
)
The implications of alternative splicing in the ENCODE protein complement
.
Proc. Natl Acad. Sci. USA
104
,
5495
5500
doi:
118
Hegyi
,
H.
,
Kalmar
,
L.
,
Horvath
,
T.
and
Tompa
,
P.
(
2011
)
Verification of alternative splicing variants based on domain integrity, truncation length and intrinsic protein disorder
.
Nucleic Acids Res.
39
,
1208
1219
doi:
119
Romero
,
P.R.
,
Zaidi
,
S.
,
Fang
,
Y.Y.
,
Uversky
,
V.N.
,
Radivojac
,
P.
,
Oldfield
,
C.J.
et al.
(
2006
)
Alternative splicing in concert with protein intrinsic disorder enables increased functional diversity in multicellular organisms
.
Proc. Natl Acad. Sci. USA
103
,
8390
8395
doi:
120
Wang
,
E.T.
,
Sandberg
,
R.
,
Luo
,
S.
,
Khrebtukova
,
I.
,
Zhang
,
L.
,
Mayr
,
C.
et al.
(
2008
)
Alternative isoform regulation in human tissue transcriptomes
.
Nature
456
,
470
476
doi:
121
Barbosa-Morais
,
N.L.
,
Irimia
,
M.
,
Pan
,
Q.
,
Xiong
,
H.Y.
,
Gueroussov
,
S.
,
Lee
,
L.J.
et al.
(
2012
)
The evolutionary landscape of alternative splicing in vertebrate species
.
Science
338
,
1587
1593
doi:
122
Ungewitter
,
E.
and
Scrable
,
H.
(
2010
)
Δ40p53 controls the switch from pluripotency to differentiation by regulating IGF signaling in ESCs
.
Genes Dev.
24
,
2408
2419
doi:
123
Ellis
,
J.D.
,
Barrios-Rodiles
,
M.
,
Çolak
,
R.
,
Irimia
,
M.
,
Kim
,
T.
,
Calarco
,
J.A.
et al.
(
2012
)
Tissue-specific alternative splicing remodels protein-protein interaction networks
.
Mol. Cell
46
,
884
892
doi:
124
Yang
,
X.
,
Coulombe-Huntington
,
J.
,
Kang
,
S.
,
Sheynkman
,
G.M.
,
Hao
,
T.
,
Richardson
,
A.
et al.
(
2016
)
Widespread expansion of protein interaction capabilities by alternative splicing
.
Cell
164
,
805
817
doi:
125
Corominas
,
R.
,
Yang
,
X.
,
Lin
,
G.N.
,
Kang
,
S.
,
Shen
,
Y.
,
Ghamsari
,
L.
et al.
(
2014
)
Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism
.
Nat. Commun.
5
,
3650
doi:
126
Colak
,
R.
,
Kim
,
T.H.
,
Michaut
,
M.
,
Sun
,
M.
,
Irimia
,
M.
,
Bellay
,
J.
et al.
(
2013
)
Distinct types of disorder in the human proteome: functional implications for alternative splicing
.
PLoS Comput. Biol.
9
,
e1003030
doi:
127
Weatheritt
,
R.J.
and
Gibson
,
T.J.
(
2012
)
Linear motifs: lost in (pre)translation
.
Trends Biochem. Sci.
37
,
333
341
doi:
128
Weatheritt
,
R.J.
,
Davey
,
N.E.
and
Gibson
,
T.J.
(
2012
)
Linear motifs confer functional diversity onto splice variants
.
Nucleic Acids Res.
40
,
7123
7131
doi:
129
Trudeau
,
T.
,
Nassar
,
R.
,
Cumberworth
,
A.
,
Wong
,
E.T.C.
,
Woollard
,
G.
and
Gsponer
,
J.
(
2013
)
Structure and intrinsic disorder in protein autoinhibition
.
Structure
21
,
332
341
doi:
130
Davis
,
M.J.
,
Shin
,
C.J.
,
Jing
,
N.
and
Ragan
,
M.A.
(
2012
)
Rewiring the dynamic interactome
.
Mol. Biosyst.
8
,
2054
2066
,
2013
doi:
131
Gueroussov
,
S.
,
Gonatopoulos-Pournatzis
,
T.
,
Irimia
,
M.
,
Raj
,
B.
,
Lin
,
Z.-Y.
,
Gingras
,
A.-C.
et al.
(
2015
)
An alternative splicing event amplifies evolutionary differences between vertebrates
.
Science
349
,
868
873
doi:
132
Papasaikas
,
P.
and
Valcarcel
,
J.
(
2012
)
Splicing in 4D
.
Science
338
,
1547
1548
doi:
133
Martin
,
K.C.
and
Ephrussi
,
A.
(
2009
)
mRNA localization: gene expression in the spatial dimension
.
Cell
136
,
719
730
doi:
134
Holt
,
C.E.
and
Bullock
,
S.L.
(
2009
)
Subcellular mRNA localization in animal cells and why it matters
.
Science
326
,
1212
1216
doi:
135
Scott
,
J.D.
and
Pawson
,
T.
(
2009
)
Cell signaling in space and time: where proteins come together and when they're apart
.
Science
326
,
1220
1224
doi:
136
Ephrussi
,
A.
,
Dickinson
,
L.K.
and
Lehmann
,
R.
(
1991
)
Oskar organizes the germ plasm and directs localization of the posterior determinant nanos
.
Cell
66
,
37
50
doi:
137
Jung
,
H.
,
Gkogkas
C.G.
,
Sonenberg
,
N.
and
Holt
,
C.E.
(
2014
)
Remote control of gene function by local translation
.
Cell
157
,
26
40
doi:
138
Lécuyer
,
E.
,
Yoshida
,
H.
,
Parthasarathy
,
N.
,
Alm
,
C.
,
Babak
,
T.
,
Cerovina
,
T.
et al.
(
2007
)
Global analysis of mRNA localization reveals a prominent role in organizing cellular architecture and function
.
Cell
131
,
174
187
doi:
139
Pertz
,
O.C.
,
Wang
,
Y.
,
Yang
,
F.
,
Wang
,
W.
,
Gay
,
L.J.
,
Gristenko
,
M.A.
et al.
(
2008
)
Spatial mapping of the neurite and soma proteomes reveals a functional Cdc42/Rac regulatory network
.
Proc. Natl Acad. Sci. USA
105
,
1931
1936
doi:
140
Wang
,
Y.
,
Ding
,
S.-J.
,
Wang
,
W.
,
Jacobs
,
J.M.
,
Qian
,
W.-J.
,
Moore
,
R.J.
et al.
(
2007
)
Profiling signaling polarity in chemotactic cells
.
Proc. Natl Acad. Sci. USA
104
,
8328
8333
doi:
141
Cajigas
,
I.J.
,
Tushev
,
G.
,
Will
,
T.J.
,
tom Dieck
,
S.
,
Fuerst
,
N.
and
Schuman
,
E.M.
(
2012
)
The local transcriptome in the synaptic neuropil revealed by deep sequencing and high-resolution imaging
.
Neuron
74
,
453
466
doi:
142
Oda
,
Y.
(
1999
)
Choline acetyltransferase: the structure, distribution and pathologic changes in the central nervous system
.
Pathol. Int.
49
,
921
937
doi:
143
Xiong
,
X.
,
Huang
,
S.
,
Zhang
,
H.
,
Li
,
J.
,
Shen
,
J.
,
Xiong
,
J.
et al.
(
2009
)
Enrichment and proteomic analysis of plasma membrane from rat dorsal root ganglions
.
Proteome Sci.
7
,
41
doi:
144
Gumy
,
L.F.
,
Yeo
,
G.S.H.
,
Tung
,
Y.-C.L.
,
Zivraj
,
K.H.
,
Willis
,
D.
,
Coppola
,
G.
et al.
(
2011
)
Transcriptome analysis of embryonic and adult sensory axons reveals changes in mRNA repertoire localization
.
RNA
17
,
85
98
doi:
145
Nozumi
,
M.
,
Togano
,
T.
,
Takahashi-Niki
,
K.
,
Lu
,
J.
,
Honda
,
A.
,
Taoka
,
M.
et al.
(
2009
)
Identification of functional marker proteins in the mammalian growth cone
.
Proc. Natl Acad. Sci. USA
106
,
17211
17216
doi:
146
Mili
,
S.
,
Moissoglu
,
K.
and
Macara
,
I.G.
(
2008
)
Genome-wide screen reveals APC-associated RNAs enriched in cell protrusions
.
Nature
453
,
115
119
doi:
147
Van Roey
,
K.
,
Dinkel
,
H.
,
Weatheritt
,
R.J.
,
Gibson
,
T.J.
and
Davey
,
N.E.
(
2013
)
The switches.ELM resource: a compendium of conditional regulatory interaction interfaces
.
Sci. Signal.
6
,
rs7
doi:
148
Calabretta
,
S.
and
Richard
,
S.
(
2015
)
Emerging roles of disordered sequences in RNA-binding proteins
.
Trends Biochem. Sci.
40
,
662
672
doi:
149
Aguzzi
,
A.
and
Altmeyer
,
M.
(
2016
)
Phase separation: linking cellular compartmentalization to disease
.
Trends Cell Biol.
26
,
547
558
doi:
150
Molliex
,
A.
,
Temirov
,
J.
,
Lee
,
J.
,
Coughlin
,
M.
,
Kanagaraj
,
A.P.
,
Kim
,
H.J.
et al.
(
2015
)
Phase separation by low complexity domains promotes stress granule assembly and drives pathological fibrillization
.
Cell
163
,
123
133
doi:
151
Knowles
,
T.P.J.
,
Vendruscolo
,
M.
and
Dobson
,
C.M.
(
2014
)
The amyloid state and its association with protein misfolding diseases
.
Nat. Rev. Mol. Cell Biol.
15
,
384
396
doi:
152
Chiti
,
F.
and
Dobson
,
C.M.
(
2006
)
Protein misfolding, functional amyloid, and human disease
.
Annu. Rev. Biochem.
75
,
333
366
doi:
153
Tantos
,
A.
,
Kalmar
,
L.
and
Tompa
,
P.
(
2015
)
The role of structural disorder in cell cycle regulation, related clinical proteomics, disease development and drug targeting
.
Expert Rev. Proteomics
12
,
221
233
doi:
154
Hegyi
,
H.
,
Buday
,
L.
and
Tompa
,
P.
(
2009
)
Intrinsic structural disorder confers cellular viability on oncogenic fusion proteins
.
PLoS Comput. Biol.
5
,
e1000552
doi:
155
Vavouri
,
T.
,
Semple
,
J.I.
,
Garcia-Verdugo
,
R.
and
Lehner
,
B.
(
2009
)
Intrinsic protein disorder and interaction promiscuity are widely associated with dosage sensitivity
.
Cell
138
,
198
208
doi:
156
Davey
,
N.E.
,
Cyert
,
M.S.
and
Moses
,
A.M.
(
2015
)
Short linear motifs – ex nihilo evolution of protein regulation
.
Cell Commun. Signal.
13
,
43
doi:
157
Soranno
,
A.
,
Koenig
,
I.
,
Borgia
,
M.B.
,
Hofmann
,
H.
,
Zosel
,
F.
,
Nettels
,
D.
et al.
(
2014
)
Single-molecule spectroscopy reveals polymer effects of disordered proteins in crowded environments
.
Proc. Natl Acad. Sci. USA
111
,
4874
4879
doi:
158
Ou
,
L.
,
Ferreira
,
A.M.
,
Otieno
,
S.
,
Xiao
,
L.
,
Bashford
,
D.
and
Kriwacki
,
R.W.
(
2011
)
Incomplete folding upon binding mediates Cdk4/cyclin D complex activation by tyrosine phosphorylation of inhibitor p27 protein
.
J. Biol. Chem.
286
,
30142
30151
doi:
159
Rogers
,
J.M.
,
Steward
,
A.
and
Clarke
,
J.
(
2013
)
Folding and binding of an intrinsically disordered protein: fast, but not ‘diffusion-limited’
.
J. Am. Chem. Soc.
135
,
1415
1422
doi:
160
Teixeira
,
D.
,
Sheth
,
U.
,
Valencia-Sanchez
,
M.A.
,
Brengues
,
M.
and
Parker
,
R.
(
2005
)
Processing bodies require RNA for assembly and contain nontranslating mRNAs
.
RNA
11
,
371
382
doi:
161
Hardy
,
J.
and
Gwinn-Hardy
,
K.
(
1998
)
Genetic classification of primary neurodegenerative disease
.
Science
282
,
1075
1079
doi:

Author notes

*

M. Madan Babu was awarded the Biochemical Society's Colworth Medal in 2014; this review is based on the Award Lecture.

This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY).